Michael P. Wellman | DeepAI

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∙ 05/23/2023

Co-Learning Empirical Games and World Models

Game-based decision-making involves reasoning over both world dynamics a...

0 Max Olan Smith, et al. ∙

∙ 02/09/2023

Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis

In iterative approaches to empirical game-theoretic analysis (EGTA), the...

0 Yongzhao Wang, et al. ∙

∙ 02/02/2023

Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis

Empirical game-theoretic analysis (EGTA) is a general framework for reas...

0 Christine Konicki, et al. ∙

∙ 02/01/2023

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning

Multiagent reinforcement learning (MARL) has benefited significantly fro...

0 Zun Li, et al. ∙

∙ 12/02/2021

Empirical Game-Theoretic Analysis in Mean Field Games

We present a simulation-based approach for solution of mean field games ...

0 Yongzhao Wang, et al. ∙

∙ 09/14/2021

Designing a Combinatorial Financial Options Market

Financial options are contracts that specify the right to buy or sell an...

0 Xintong Wang, et al. ∙

∙ 06/03/2021

Iterative Empirical Game Solving via Single Policy Best Response

Policy-Space Response Oracles (PSRO) is a general algorithmic framework ...

0 Max Olan Smith, et al. ∙

∙ 05/21/2021

Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis

In empirical game-theoretic analysis (EGTA), game models are extended it...

0 Yongzhao Wang, et al. ∙

∙ 09/29/2020

Learning to Play against Any Mixture of Opponents

Intuitively, experience playing against one mixture of opponents in a gi...

0 Max Olan Smith, et al. ∙

∙ 01/16/2014

Multiattribute Auctions Based on Generalized Additive Independence

We develop multiattribute auctions that accommodate generalized additive...

0 Yagil Engel, et al. ∙

∙ 03/27/2013

Qualitative Probabilistic Networks for Planning Under Uncertainty

Bayesian networks provide a probabilistic semantics for qualitative asse...

0 Michael P. Wellman, et al. ∙

∙ 03/27/2013

The Role of Calculi in Uncertain Inference Systems

Much of the controversy about methods for automated decision making has ...

0 Michael P. Wellman, et al. ∙

∙ 03/27/2013

Exploiting Functional Dependencies in Qualitative Probabilistic Reasoning

Functional dependencies restrict the potential interactions among variab...

0 Michael P. Wellman, et al. ∙

∙ 02/27/2013

State-space Abstraction for Anytime Evaluation of Probabilistic Networks

One important factor determining the computational complexity of evaluat...

0 Michael P. Wellman, et al. ∙

∙ 02/27/2013

The Automated Mapping of Plans for Plan Recognition

To coordinate with other agents in its environment, an agent needs model...

0 Marcus J. Huber, et al. ∙

∙ 02/13/2013

Toward a Market Model for Bayesian Inference

We present a methodology for representing probabilistic relationships in...

0 David M. Pennock, et al. ∙

∙ 02/06/2013

Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market

We consider the problem of belief aggregation: given a group of individu...

0 David M. Pennock, et al. ∙

∙ 01/30/2013

Using Qualitative Relationships for Bounding Probability Distributions

We exploit qualitative probabilistic relationships among variables for c...

0 Chao-Lin Liu, et al. ∙

∙ 01/30/2013

Incremental Tradeoff Resolution in Qualitative Probabilistic Networks

Qualitative probabilistic reasoning in a Bayesian network often reveals ...

0 Chao-Lin Liu, et al. ∙

∙ 01/23/2013

Graphical Representations of Consensus Belief

Graphical models based on conditional independence support concise encod...

0 David M. Pennock, et al. ∙

∙ 01/16/2013

Probabilistic State-Dependent Grammars for Plan Recognition

Techniques for plan recognition under uncertainty require a stochastic m...

0 David V. Pynadath, et al. ∙

∙ 06/13/2012

Knowledge Combination in Graphical Multiagent Model

A graphical multiagent model (GMM) represents a joint distribution over ...

0 Quang Duong, et al. ∙

∙ 02/14/2012

The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information

Traditional economic models typically treat private information, or sign...

0 Michael P. Wellman, et al. ∙

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